Data Architect 3

3 weeks ago

Gurugram, India MongoDB Full time

MongoDB is growing rapidly and seeking a Data Architect to be a key member of a growing Data Architecture team; overseeing the governance, management and stewardship of data across the organization. As a Data Architect, you will be the bridge between the business and data engineering teams. You will design data models and schemas to produce high-performing, curated datasets in a mixed SQL and NoSQL environment, and drive the implementation to completion. You will configure a new enterprise data catalog, and facilitate the adoption of enterprise data governance policies and procedures.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Who?

At least 3 years experience building data models to support structured and semi-structured product data. Experience with product telemetry data is a plusHighly proficient in SQL. MQL (MongoDB Query Language) knowledge is a plusExperienced with at least one distributed query engine or cloud-based data warehouse, such as Trino or BigQueryCustomer focused, understanding that delivering business value is of utmost importanceSkilled at eliciting requirements and communicating across a diverse set of engineers and partnersWell-versed in core data lake, data warehousing and data security conceptsFamiliar with data catalog functionality, business glossaries, metadata management and data lineageFamiliar with cloud computing concepts and big data storage formats such as ParquetCapable of juggling multiple projects simultaneouslyA lifelong learner who strives for continuous improvement

What?

As a Data Architect, you will

Partner with Product Owners and other Stakeholders to document data requirements, utilizing your experience to provide insights and add value to the processDesign data models and schemas within the internal data lake and data warehouse that will be used for analytical and data science consumptionCreate and execute test plans to ensure data is accurate and performance meets SLAsImplement data security standards for data accessDocument metadata and lineage in the enterprise data catalog, promoting self-service data discovery and exploration

Success Measures

In 3 months, you’ll have fully ramped with our Business and Data teamsIn 6 months, you’ll have delivered at least one fully documented data model that provides value to the businessIn 12 months, you’ll have delivered multiple data models across a variety of use cases, and are comfortable working with all aspects of our internal data platform

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